Buy Empirical Evaluation Techniques in Computer Vision by P. Jonathon Phillips
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Artificial intelligence > Computer vision > Empirical Evaluation Techniques in Computer Vision: (Practitioners)
12%
Empirical Evaluation Techniques in Computer Vision: (Practitioners)

Empirical Evaluation Techniques in Computer Vision: (Practitioners)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

The two main motivators in computer vision research are to develop algorithms to solve vision problems and to understand and model the human visual system. This work focuses on developing solutions to vision problems from the computer vision and pattern recognition community's point of view. Empirical Evaluation Techniques in Computer Vision covers methods that allow comparative assessment of algorithms and the accompanying benefits: Places computer vision on solid experimental and scientific grounds Assists the development of engineering solutions to practical problems Allows accurate assessments of computer vision research Provides convincing evidence that computer vision research results in practical solutions Empirical evaluations are divided into three basic categories providing useful insights into computer vision algorithms. Independently administered evaluations make up the first category. The second is evaluations of a set of classification algorithms by one group. The third category is composed of problems where the ground truth is not self evident. A major component of the evaluation process is to develop a method of obtaining the ground truth. Empirical evaluations of algorithms are slowly emerging as a serious subfield in computer vision. The text builds a foundation for developing accepted practices for evaluating algorithms that determine the strengths and weaknesses of different approaches while identifying necessary further research. Successful evaluations can help convince potential users that an algorithm has matured to the point that it can be successfully fielded.

Table of Contents:
Overview of Work in Empirical Evaluation of Computer Vision Algorithms (Kevin W. Bowyer and P. Jonathon Phillips). A Blinded Evaluation and Comparison of Image Registration Methods (J. Michael Fitzpatrick and Jay B. West). A Benchmark for Graphics Recognition Systems (Atul K. Chhabra and Ihsin T. Phillips). Performance Evaluation of Clustering Algorithms for Scalable Image Retrieval (mohammed Abdel-Mottaleb, Santhana Krishnamachari, and Nicholas J. Mankovich). Analysis of PCA-Based Face Recognition Algorithms (Hyeonjoon Moon and P. Jonathan Phillips). Performance Assessment by Resampling: Rigid Motion Estimators (Bogdan Matei, Peter Meer, and David Tyler). Sensor Errors and the Uncertainties in Stereo Reconstruction (Gerda Kamberova and Ruzena Bajcsy). Fingerprint Image Enhancement: Algorithm and Performance Evaluation (Lin Hong, Yifei Wan, and Anil Jain). Empirical Evaluation of Laser Radar Recognition Algorithms Using Synthetic and Real Data (Sandor Der and Qinfen Zheng). A WWW-Accessible Database for 3D Vision Research (Patrick J. Flynn and Richard J. Campbell). Shape of Motion and the Perception of Human Gaits (Jeffrey E. Boyd and James J. Little). Empirical Evaluation of Automatically Extracted Road Axes (Christain Wiedemann, Christian Heipke, Helmut Mayer, and Olivier Jamet). Analytical and Empirical Performance Evaluation of Subpixel Line and Edge Detection (Carsten Steger). Objective Evaluation of Edge Detectors Using a Formally Defined Framework (Sean Dougherty and Kevin W. Bowyer). An Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion Task (Min C. Shin, Dmitry Goldgof, and Kevin W. Bowyer). Author Index.

About the Author :
Kevin W. Bowyer is the author of "Your Call," an ethics and computing column in Computer magazine, and served as chair of the Social, Ethical, Legal and Professional Issues focus group for the Year 2001 Model Curricula for Computing. He has also led workshops on Teaching Ethics and Computing for undergraduate faculty sponsored by the National Science Foundation. Currently, he is editor in chief of IEEE Transactions on Pattern Analysis and Machine Intelligence and is a member of editorial boards for several other journals. Dr. Bowyer's research interests include image understanding, pattern recognition, and medical image analysis. His research work has been supported by the National Science Foundation, Defense Advanced Research Projects Agency, the Air Force Office of Scientific Research, the Army Medical Research and Material Command, NASA, and other agencies. Presently, Dr. Bowyer is professor of computer science and engineering at the University of South Florida, where he has received numerous distinguished teaching awards. Previously, he was a computer science faculty member at Duke University and the Institute for Informatics at the Swiss Federal Technical Institute in Zurich. Dr. Bowyer is an IEEE Fellow.


Best Sellers


Product Details
  • ISBN-13: 9780818684012
  • Publisher: IEEE Computer Society Press,U.S.
  • Publisher Imprint: IEEE Computer Society Press,U.S.
  • Height: 230 mm
  • No of Pages: 262
  • Returnable: N
  • Spine Width: 14 mm
  • Width: 154 mm
  • ISBN-10: 0818684011
  • Publisher Date: 27 Jun 1998
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: Practitioners
  • Weight: 363 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Empirical Evaluation Techniques in Computer Vision: (Practitioners)
IEEE Computer Society Press,U.S. -
Empirical Evaluation Techniques in Computer Vision: (Practitioners)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Empirical Evaluation Techniques in Computer Vision: (Practitioners)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!